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Reducing tail latency using duplication: a multi-layered approach

Authors:

Hafiz Mohsin Bashir,

Abdullah Bin Faisal,

M Asim Jamshed,

Ali Musa Iftikhar,

Ihsan Ayyub Qazi,

Fahad R. DogarAuthors Info & Claims

CoNEXT '19: Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies

Pages 246 - 259

https://doi.org/10.1145/3359989.3365432

Published: 03 December 2019 Publication History

Abstract

Duplication can be a powerful strategy for overcoming stragglers in cloud services, but is often used conservatively because of the risk of overloading the system. We call for making duplication a first-class concept in cloud systems, and make two contributions in this regard. First, we present duplicate-aware scheduling or DAS, an aggressive duplication policy that duplicates every job, but keeps the system safe by providing suitable support (prioritization and purging) at multiple layers of the cloud system. Second, we present the D-Stage abstraction, which supports DAS and other duplication policies across diverse layers of a cloud system (e.g., network, storage, etc.). The D-Stage abstraction decouples the duplication policy from the mechanism, and facilitates working with legacy layers of a system. Using this abstraction, we evaluate the benefits of DAS for two data parallel applications (HDFS, an in-memory workload generator) and a network function (Snort-based IDS cluster). Our experiments on the public cloud and Emulab show that DAS is safe to use, and the tail latency improvement holds across a wide range of workloads.

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Index Terms

Reducing tail latency using duplication: a multi-layered approach
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cover image ACM Conferences

CoNEXT '19: Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies

December 2019

395 pages

ISBN:9781450369985

DOI:10.1145/3359989

General Chairs:
Aziz Mohaisen
University of Central Florida
,
Zhi-Li Zhang
University of Minnesota

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 December 2019

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CoNEXT '19

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CoNEXT '19: The 15th International Conference on emerging Networking EXperiments and Technologies

December 9 - 12, 2019

Florida, Orlando

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Overall Acceptance Rate 198 of 789 submissions, 25%

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https://doi.org/10.1109/ICDCS60910.2024.00075
Ahmad MNawazish MTariq MAwan MRaza MQazi ZBianchi GMei A(2022)Enabling emerging edge applications through a 5G control plane interventionProceedings of the 18th International Conference on emerging Networking EXperiments and Technologies10.1145/3555050.3569130(386-400)Online publication date: 30-Nov-2022
https://dl.acm.org/doi/10.1145/3555050.3569130
Iqbal HSingh AShahzad M(2022)Characterizing the Availability and Latency in AWS Network From the Perspective of TenantsIEEE/ACM Transactions on Networking10.1109/TNET.2022.314870130:4(1554-1568)Online publication date: Aug-2022
https://doi.org/10.1109/TNET.2022.3148701
Haq ODoucette CByers JDogar FHan DFeldmann A(2020)Judicious QoS using cloud overlaysProceedings of the 16th International Conference on emerging Networking EXperiments and Technologies10.1145/3386367.3431318(371-385)Online publication date: 23-Nov-2020
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